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Bayesian Inference
With Ecological Applications
A mathematically sound but accessible and engaging introduction to the Bayesian paradigm, written specifically for ecologists and wildlife biologists
William A Link (Author), Richard J Barker (Author)
9780123748546, Elsevier Science
Hardback, published 7 August 2009
354 pages
23.4 x 19 x 2.5 cm, 0.72 kg
This text is written to provide a mathematically sound but accessible and engaging introduction to Bayesian inference specifically for environmental scientists, ecologists and wildlife biologists. It emphasizes the power and usefulness of Bayesian methods in an ecological context. The advent of fast personal computers and easily available software has simplified the use of Bayesian and hierarchical models . One obstacle remains for ecologists and wildlife biologists, namely the near absence of Bayesian texts written specifically for them. The book includes many relevant examples, is supported by software and examples on a companion website and will become an essential grounding in this approach for students and research ecologists.
Chapter 1. Bayesian InferenceChapter 2. ProbabilityChapter 3. Statistical InferenceChapter 4. Posterior CalculationsChapter 5. Bayesian PredictionChapter 6. PriorsChapter 7. Multimodel InferenceChapter 8. Hidden Data ModelsChapter 9. Closed-Population Mark-Recapture ModelsChapter 10. Latent MultinomialsChapter 11. Open Population ModelsChapter 12. Individual FitnessChapter 13. Autoregressive Smoothing
Subject Areas: Applied ecology [RNC], Ecological science, the Biosphere [PSAF], Probability & statistics [PBT]
